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ByteDance is seeking to develop and optimize core AI infrastructure technologies, covering training, inference, and AI agents. The role involves cutting-edge research collaboration with academia and open-source communities to advance the state of the art.
The position expects a strong foundation in computer science and hands-on experience with LLM tooling, contributing to impactful publications and open-source projects.
Develop and optimize key technologies for the AI infrastructure stack, including training, inference, and AI agents. Collaborate with academia and open-source communities to conduct research and publish academic papers.
Requires a Master's degree in Computer Science or a related field with experience in LLM training, inference, or AI agent infrastructure. Preferred candidates have contributions to open-source projects like vLLM or publications in conferences such as OSDI or MLSys.